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Netlab Reference Manual demgauss
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<H1> demgauss
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<h2>
Purpose
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Demonstrate sampling from Gaussian distributions.

<p><h2>
Synopsis
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<PRE>
demgauss
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<p><h2>
Description
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<p><CODE>demgauss</CODE> provides a simple illustration of the generation of
data from Gaussian distributions. It first samples from a
one-dimensional distribution using <CODE>randn</CODE>, and then plots a
normalized histogram estimate of the distribution using <CODE>histp</CODE>
together with the true density calculated using <CODE>gauss</CODE>.

<p><CODE>demgauss</CODE> then demonstrates sampling from a Gaussian distribution
in two dimensions. It creates a mean vector and a covariance matrix,
and then plots contours of constant density using the function
<CODE>gauss</CODE>. A sample of points drawn from this distribution, obtained
using the function <CODE>gsamp</CODE>, is then superimposed on the contours.

<p><h2>
See Also
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<CODE><a href="gauss.htm">gauss</a></CODE>, <CODE><a href="gsamp.htm">gsamp</a></CODE>, <CODE><a href="histp.htm">histp</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
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<p>Copyright (c) Ian T Nabney (1996-9)


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